This dataset covers 1,122 verified records spread across
15+ districts in Nagaland.
1,122 records carry a verified phone number and
393 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density districts are
Mokokchung (338 listings), Phek (169 listings), Niuland (113 listings), Dimapur (85 listings), Mon (68 listings), Peren (56 listings), Tuensang (48 listings), and Longleng (42 listings).
The Jewelry stores database includes 1,122+ verified Jewelry stores in Nagaland, India with name, address, city, state, phone, hours, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
Nupoor (IN) bought 2 days ago
·Narmada (IN) bought 2 days ago
·Runjhun (IN) bought 3 days ago
·Madhu (IN) bought 4 days ago
·Qabool (IN) bought 5 days ago
How to use this data
Trade-marketing rollout — kit every Jewelry outlet in Nagaland, India from one master list.
Catchment overlap audit — map your customer drive-time radius against Jewelry locations across Nagaland, India.
Reporting decks — pull citation-grade store counts straight from a Nagaland, India-wide Jewelry list.
Frequently asked about this dataset
How many Jewelry stores are in Nagaland, India?
Our latest 2026 count shows 1,122+ live Jewelry stores across Nagaland, India. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
Where can I download a database of all Jewelry stores in Nagaland, India?
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Jewelry stores CSV covering all of Nagaland, India within seconds. Every row is human-checked.
What fields are included in the Jewelry stores dataset?
The CSV ships with one row per Jewelry location, columns covering Jewelry store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL plus website, opening-hours window, ratings and review counts. UTF-8 encoded — imports cleanly into HubSpot, Salesforce, Zoho or any CRM.
How accurate is the Jewelry stores location data?
We verify each Jewelry entry against the brand's official locator, Google Places and our directory partners on a 30-day cycle. Anything closed or with a dead phone gets dropped before export, so the CSV is the live Nagaland, India footprint, not last year's.
Is the Jewelry stores data updated?
Yes. The Jewelry stores dataset is rebuilt on a rolling 30-day cycle — new openings come in through franchise expansion feeds and registrar filings, closures are detected from negative Google signals (phone disconnected, 'permanently closed' markers) and dropped before export.
Can I use the Jewelry stores data for marketing and sales outreach?
Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Jewelry catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.
What format do I receive the Jewelry stores database in?
You receive a UTF-8 encoded CSV file. It opens cleanly in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request after purchase.
How soon after purchase can I download the Jewelry stores CSV?
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time, so you always receive the latest verified Jewelry stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
About the Jewelry Stores Database in Nagaland, India
Looking to reach world wide data decision-makers in Nagaland, India? This database aggregates 1,122+ verified records through the Data2Sales AI engine, pulling from verified public registries, official websites, social profiles, and licensed data partners. Dead numbers, closed storefronts, and duplicates are stripped before export — you receive a clean, CRM-ready CSV.